AI Product Manager

Job Description

AI Product Manager, Enterprise AI | Zuora

The Tone:
This is a full-time role at Zuora, implicitly US-based due to the USD pay range. Zuora provides a platform that powers modern business models, helping companies launch new products and monetize services with an adaptable, AI-ready foundation. This role is crucial for Zuora to adopt AI both rapidly and responsibly, owning the internal AI products and skill development that enable this critical company objective.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: US-based (due to USD pay range)
• Pay: $115800–$173600 yearly
• Team: Corporate Operations team, specifically the Enterprise AI team
• Mission: Owns the strategy, roadmap, and outcomes for a set of employee-facing Enterprise AI products, including learning experiences and AI agents.
• Tech Stack: Jira, Asana, Confluence, Slack, Google Workspace

What You’ll Actually Do
• Product Strategy: Define the vision, roadmap, and success measures for Enterprise AI products, aligning them with Corporate Operations OKRs.
• User Insight: Conduct continuous discovery with ZEOs and functional leaders to understand their learning needs and how AI can create value in their work.
• Product Delivery: Work with AI Solutions Engineers and other teams in an agile model to ship product increments on a predictable cadence.
• Training & Enablement: Own the training and enablement for all shipped products, including building a self-service AI learning experience and running office hours.
• Messaging & Communications: Write clear, accurate, and timely messaging for product launches, company-wide AI updates, and policy changes, making complex information human.

The Must-Haves
• Background: Bachelor’s degree in Business, Information Systems, Communications, Computer Science, or a related field, or equivalent experience; ideally for internal or enterprise software product management.
• Experience: 3+ years in product management, product ownership, technical program management, business systems analysis, or product operations, with demonstrated ability to take a product from discovery through launch and iteration.
• Skills: Working knowledge of LLMs and agentic workflows; hands-on daily use of generative AI tools such as Claude, ChatGPT, Gemini, Copilot, or Glean; excellent writing and messaging skills; experience designing and delivering training or enablement; experience defining product metrics and using data for decisions.
• Bonus: Experience with conversational AI, knowledge management, or employee self-service products; experience building a learning hub or interactive learning content; experience running a champions or community program; experience with AI governance and responsible AI practices; Prosci, CSPO, or similar certification; experience in a high-growth SaaS company.